monday CRM AI Sentiment Analysis: How to Extract and Analyse Sentiment from Content? [2025]

Ishani Dhar Chowdhury
4 days ago
5 min read

All your customer interactions carry a hidden emotional intelligence. AWS reports that companies face numerous hurdles because they lack a comprehensive sentiment analysis.

With monday AI sentiment analysis, your business can decode the hidden meaning behind textual data. If you don't use such solutions, there's a risk of misinterpreting customer interactions. As such, your sales team cannot improve satisfaction levels, take feedback into account, and more.

Some say, "The difference between closed deals and lost opportunities often lies buried in the sentiment of meeting transcripts, content exchange, and a single email thread."

In this blog post, we'll learn how monday CRM AI helps you extract sentiment.

Why Is Sentiment Analysis Important? | Fruition's Take

Our team of monday specialists at Fruition is continuously researching monday CRM AI capabilities. We've concluded that sentiment analysis is truly a great update that your team can leverage to make informed sales-related decisions.

According to ScienceDirect, sentiment analysis is a part of NLP techniques that can identify and evaluate the emotional tone or mood conveyed in textual data.

Here's what it does:

Scrutinises words and phrases.
Categorises them into neutral, negative, or positive sentiments.
Derives valuable insights from extensive textual data.
Empowers businesses to grasp customer emotions.

We wanted to highlight that the sentiment analysis market has a 2025 projection of USD 6.4 billion. It's expected to witness a CAGR of 12.3% between 2020 and 2025.

Let's take monday CRM AI's sentiment analysis feature as an example. Being a part of the monday AI Blocks, it can revolutionise how your sales team analyses and extracts sentiment from client communications.

The AI in monday CRM can help your sales team detect customer emotions in reviews, chats, and emails. As a result, you can respond appropriately and improve overall client satisfaction.

Guess what? You don't need any technical knowledge for any of these!

Contact a monday.com expert

Sentiment Analysis Feature in monday CRM AI Blocks

The sentiment analysis software market will witness an 18.1% CAGR, reaching USD 5.83 billion by 2029. By the end of 2025, it can have a value of USD 3 billion.

This statistic proves how popular such platforms are. For instance, your sales team can systematically analyse emotional undertones with the help of monday CRM's sentiment analysis.

Once the data is collected from meeting notes, text/updates, and email summaries, businesses can identify any 'at-risk' relationships. That way, you can optimise engagement strategies for a better sales opportunity.

monday AI sentiment analysis can indeed transform raw communication data into actionable insights, driving revenue growth and customer retention. This automated feature can:

Determine whether text input can be categorised as Positive, Negative, or Neutral.
It helps you see what your contact is feeling to understand how to prioritise and approach them.
Identify emotional cues from text and categorise sentiment, ensuring your sales team can respond appropriately to customer communications in monday CRM.
Analyse email content, call summaries and other types of text data to prioritise high-risk accounts and personalise outreach strategies.

monday CRM's sentiment analysis can automatically detect the text. You can add this AI Block through pre-built templates or custom automations. As a result, your team can improve client satisfaction with the help of data-driven emotional intelligence.

Use the Sentiment Analysis AI Feature in monday CRM: How Can You Extract and Analyse?

Sentiment Analysis in monday CRM AI Blocks

Using AI in monday CRM can be a little complicated for businesses that aren't familiar with this intuitive interface. Are you ready to simplify and automate everyday tasks?

To access all of monday CRM AI's features, Admins must enable AI capabilities on the different paid plans. Every account receives 500 AI Credits monthly. Consider this as the currency required to make AI-powered actions.

The team at Fruition highlights this: "One AI Credit/Successful AI Request or Block and no AI Credit usage for failed AI tasks." You can check the usage status in the Administration section.

AI Credits Usage Statistics in monday.com

Set Up Sentiment Analysis: What Can It Detect?

monday CRM AI Block: Detect Sentiment in Contacts Board

Step	Action
Select column	Choose the Text column with relevant data. (Customer feedback, emails, communication in chats, etc.)
Open AI menu	Click the three-dot menu (⋮) > Autofill with AI.
Choose action	Select "Detect sentiment" (Positive/Negative/Neutral).
Preview and customise	Review results, adjust settings.
Save and apply	Apply sentiment analysis to all items.

To analyse results, use the sentiment labels for filtering, triggering automations, or reporting.

Moreover, there are many ways to set up the sentiment analysis feature for your sales team. The team at Fruition has tried out a few examples.

Here are the entities that allow you to analyse and extract sentiment:

Board Content like Text Columns, Notes, and Chat Messages.
Results from monday Form (Feedback).
Summarised sales communication emails from the Emails & Activities app in monday CRM.
Automated chatbot interactions or customer (Guest in monday Board) interactions.
Meeting transcripts and voice-to-text converted calls.

All in all, based on the right boards, monday CRM AI sentiment analysis can analyse any text (if written in the right format) for sentiment. As a result, the board will automatically determine the emotional tone of your customers.

But what can you do with all this? Well, you can use the sentiment data to trigger automated responses, set up alerts for negative sentiment when detected, and create follow-up tasks based on the results.

All these will help you generate reports in monday CRM Dashboards with every CRM metric in place, ensuring the sales processes remain effective.

Contact a monday.com expert

Using the Sentiment Analysis AI Block Feature in monday CRM

Follow these steps to use sentiment analysis properly:

Identify Text Data: Add this feature in the Text Column containing the content you'd like to analyse. (customer feedback, communications, notes, etc.)
Add AI Sentiment Analysis: In monday CRM AI, you can find a built-in sentiment analysis feature that automatically detects sentiments and categorises them. (Positive, Negative, or Neutral.)
Select Column Item: To access the results, you must select relevant columns or items (AI action) when choosing the 'text to analyse' option for sentiment detection.
Visualise and Automate Results: You can automate the sentiment detection analysis to ensure every new entry gets evaluated without manual intervention. Try to create dashboards, reports or other data visualisations to portray the sentiment results and monitor tone or trends.

Your sales team can also take action based on the sentiment detected. For example, use the results to trigger automations like alerting members about negative sentiment or generating follow-ups to change the customer relationship.

All in all, AI sentiment analysis in monday CRM enables your team to effectively analyse, monitor, and act on client interactions. You can also create CRM workflows that improve customer understanding and responsiveness.

FAQs

What is monday AI sentiment analysis?

Sentiment analysis in monday AI helps you determine the emotional state of your customers and clients. It can read all messages and notes by reviewing call summaries, emails, and interactions. This analysis gives you an instant result depicting how the clients are feeling. These interactions are categorised as Negative, Positive, or Neutral. Your sales team can fully understand where a deal stands and which leads need more attention.

What are the benefits of using sentiment analysis in monday CRM?

The benefits of using monday CRM AI sentiment analysis include proactive customer service by identifying unhappy clients before issues escalate or arise. Emotional urgency detection improves response times to prioritise communications. The sentiment analysis feature in monday Sales CRM can also tailor responses to match the emotional state to enhance satisfaction. You get to use these insights to train sales and support teams.